דרושים » דאטה » Senior data Engineer בחברת סטארט-אפ בתחום ה-Cloud

We are looking for a Data Engineer to join our team and play a key role in designing, building, and maintaining scalable, cloud-based data pipelines. You will work with AWS (Redshift, S3, Glue, Managed Airflow, Lambda) to integrate, process, and analyze large datasets, ensuring data reliability and efficiency.
Your work will directly impact business intelligence, analytics, and data-driven decision-making across the
What Youll Do:
ETL & Data Processing: Develop and maintain ETL processes, integrating data from various sources (APIs, databases, external platforms) using Python, SQL, and cloud technologies.
Cloud & Big Data Technologies: Implement solutions using PySpark, Databricks, Airflow, and cloud platforms (AWS) to process large-scale datasets efficiently.
Data Modeling: Design and maintain logical and physical data models to support business needs.
Optimization & Scalability: Improve process efficiency and optimize runtime performance to handle large-scale data workloads.
Collaboration: Work closely with BI analysts and business stakeholders to define data requirements and functional specifications.
Monitoring & Troubleshooting: Ensure data integrity and reliability by proactively monitoring pipelines and resolving issues.
Data Modeling: Design and maintain logical and physical data models to support analytics and operational needs.

We are expanding our global data platform infrastructure team and were hiring top-tier engineering talent in Israel. This is a critical role focused on building scalable, secure, and intelligent platform capabilities that empower data engineers, analysts, ML engineers, and data scientists across the company.
Youll be part of a high-impact international team driving the foundation of our enterprise data platform designing automation, governance, and observability frameworks that power secure, compliant, and efficient data operations at scale.
Location: Raanana, Israel (Hybrid 3 days/week onsite, office is right on the train station)
What Youll Do
Design and build infrastructure for real-time, secure, and governed data operations empowering data practitioners across
Develop capabilities to support data ingestion, modeling, analytics, and MLOps using modern tooling and scalable cloud-native architecture
Implement security best practices, including automatic key rotation, RBAC, data classification, and encryption at rest/in transit
Own and automate infrastructure components using Infrastructure as Code (e.g., Terraform)
Build and maintain operations for tools like Airflow and dbt to enable seamless orchestration and transformation workflows
Collaborate across data engineering, analytics, data science, and DevOps teams to enhance platform capabilities and adoption
Support modern metadata standards and technologies like Model Context Protocol (MCP) and Apache Iceberg
Monitor and improve platform performance, reliability, and security posture.